The hmm package

[Tags:bsd3, library]

Data.HMM is a library for using Hidden Markov Models with Haskell. Commonly used algoriths (i.e. the forward and backwards algorithms, Viterbi, and Baum-Welch) are implemented. The best way to learn to use it is to visit the tutorial at http://izbicki.me/blog/using-hmms-in-haskell-for-bioinformatics. The tutorial also includes performance benchmarks that you should be aware of.

Properties

Versions 0.1, 0.1.1, 0.2.1, 0.2.1.1
Dependencies array, base (==4.*), data-memocombinators, list-extras, logfloat [details]
License BSD3
Author Mike Izbicki
Maintainer mike@izbicki.me
Stability Unknown
Category Algorithms, Data mining, Machine learning
Home page https://github.com/mikeizbicki/hmm
Uploaded Mon Mar 26 19:37:56 UTC 2012 by MikeIzbicki
Distributions NixOS:0.2.1.1
Downloads 1092 total (10 in the last 30 days)
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Status Docs uploaded by user
Build status unknown [no reports yet]

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